Search ga_ls5t_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

51 results

Time (local)	Label
1988-03-07 09:20:26	ga_ls5t_ard_3-0-0_096067_1988-03-06_final
1988-03-22 08:41:42	ga_ls5t_ard_3-0-0_089078_1988-03-21_final
1988-12-22 09:11:43	ga_ls5t_ard_3-0-0_094075_1988-12-21_final
1989-01-21 09:20:34	ga_ls5t_ard_3-0-0_096067_1989-01-20_final
1989-05-25 09:45:17	ga_ls5t_ard_3-0-0_100071_1989-05-25_final
1989-08-15 09:36:03	ga_ls5t_ard_3-0-0_098083_1989-08-15_final
1989-09-23 09:36:27	ga_ls5t_ard_3-0-0_099071_1989-09-23_final
1990-05-05 09:34:04	ga_ls5t_ard_3-0-0_099079_1990-05-05_final
1990-06-10 10:45:52	ga_ls5t_ard_3-0-0_111073_1990-06-10_final
1990-12-19 09:03:55	ga_ls5t_ard_3-0-0_095067_1990-12-18_final
1991-09-23 10:16:33	ga_ls5t_ard_3-1-0_105083_1991-09-23_final
1991-09-25 10:03:46	ga_ls5t_ard_3-0-0_103082_1991-09-25_final
1991-11-10 08:36:19	ga_ls5t_ard_3-0-0_089079_1991-11-09_final
1991-11-16 11:17:01	ga_ls5t_ard_3-0-0_115079_1991-11-16_final
1991-11-21 09:57:26	ga_ls5t_ard_3-1-0_102081_1991-11-21_final
1992-11-03 08:43:09	ga_ls5t_ard_3-0-0_090088_1992-11-02_final
1993-09-09 09:42:03	ga_ls5t_ard_3-0-0_100078_1993-09-09_final
1993-10-08 09:06:39	ga_ls5t_ard_3-0-0_095067_1993-10-07_final
1993-12-09 09:24:12	ga_ls5t_ard_3-0-0_097081_1993-12-08_final
1994-04-16 09:17:37	ga_ls5t_ard_3-0-0_097069_1994-04-15_final
1994-09-21 11:08:24	ga_ls5t_ard_3-0-0_115077_1994-09-21_final
1995-11-05 09:46:07	ga_ls5t_ard_3-0-0_105068_1995-11-05_final
1995-12-18 09:34:30	ga_ls5t_ard_3-0-0_102081_1995-12-18_final
1995-12-29 10:54:04	ga_ls5t_ard_3-0-0_115077_1995-12-29_final
1996-04-28 09:17:49	ga_ls5t_ard_3-0-0_098079_1996-04-27_final
1996-07-12 08:58:37	ga_ls5t_ard_3-0-0_095067_1996-07-11_final
1997-04-05 10:34:30	ga_ls5t_ard_3-0-0_108074_1997-04-05_final
1997-11-13 10:53:53	ga_ls5t_ard_3-1-0_110074_1997-11-13_final
1998-08-14 10:46:00	ga_ls5t_ard_3-0-0_108074_1998-08-14_final
1998-09-15 10:46:18	ga_ls5t_ard_3-0-0_108074_1998-09-15_final
1998-11-20 08:56:32	ga_ls5t_ard_3-0-0_090077_1998-11-19_final
2003-08-13 11:29:19	ga_ls5t_ard_3-0-0_115078_2003-08-13_final
2003-09-06 10:39:06	ga_ls5t_ard_3-0-0_107075_2003-09-06_final
2003-10-25 09:41:22	ga_ls5t_ard_3-0-0_098068_2003-10-25_final
2003-10-26 08:50:09	ga_ls5t_ard_3-0-0_089079_2003-10-25_final
2003-12-20 10:34:37	ga_ls5t_ard_3-0-0_106076_2003-12-20_final
2004-01-08 09:23:10	ga_ls5t_ard_3-0-0_095067_2004-01-07_final
2004-01-24 09:23:14	ga_ls5t_ard_3-0-0_095067_2004-01-23_final
2004-02-22 10:34:33	ga_ls5t_ard_3-0-0_106075_2004-02-22_final
2004-03-09 10:35:02	ga_ls5t_ard_3-0-0_106076_2004-03-09_final
2004-03-16 10:39:16	ga_ls5t_ard_3-0-0_107071_2004-03-16_final
2004-04-02 09:48:35	ga_ls5t_ard_3-0-0_098083_2004-04-02_final
2004-06-18 10:55:14	ga_ls5t_ard_3-0-0_109074_2004-06-18_final
2004-10-22 09:29:03	ga_ls5t_ard_3-0-0_095067_2004-10-21_final
2005-04-08 10:26:31	ga_ls5t_ard_3-0-0_103081_2005-04-08_final
2005-09-04 10:43:42	ga_ls5t_ard_3-0-0_106075_2005-09-04_final
2006-06-02 11:44:23	ga_ls5t_ard_3-0-0_115077_2006-06-02_final
2006-10-25 09:12:56	ga_ls5t_ard_3-0-0_090080_2006-10-24_final
2009-04-23 10:00:27	ga_ls5t_ard_3-0-0_099077_2009-04-23_final
2009-05-25 10:01:03	ga_ls5t_ard_3-0-0_099077_2009-05-25_final
2011-03-16 09:34:18	ga_ls5t_ard_3-1-0_095067_2011-03-16_final

Return to ga_ls5t_ard_3 whole collection overview

ga_ls5t_ard_3: Geoscience Australia Landsat 5 Thematic Mapper Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years